Dataset Versions

Try Pre-Trained Model

2023-07-01 7:29pm

2023-07-01 5:40pm

2023-07-01 5:36pm

2023-06-25 8:32pm

2023-06-05 5:23am

v5

2023-07-01 7:29pm

Generated on Jul 1, 2023

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YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

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383 Total Images

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Dataset Split

Train Set 76%

292Images

Valid Set 16%

61Images

Test Set 8%

30Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

90° Rotate: Counter-Clockwise, Upside Down

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KoreanMelonRipening

Annotate

9 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

KoreanMelon

CLASSES

LAYERS

ripe

1

Unused Classes

overripe

rotten

unripe

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

KoreanMelon1.jpg

640x640

0.41MP

Updated Jul 1, 2023

10:29AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize	Stretch to 640x640
90° Rotate	Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "ripe": 266,
        "rotten": 183,
        "overripe": 93,
        "unripe": 9
    },
    "datasets": [
        "pWkDbZasGQNcZE9wLSBv"
    ],
    "destination": "d34ca3d3fb046589c948a5a792c8d3eb",
    "height": 640,
    "id": "EReQagkHV8GpE8Cs4XqK",
    "label": [],
    "labels": [],
    "name": "KoreanMelon1.jpg",
    "numSteps": 2,
    "owner": "WzKf4PuHtEeAmqgvv5qXvALJSyk2",
    "preprocessing": [
        "resize:[\"Stretch to\",640,640]",
        "ninety:[-90]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "EReQagkHV8GpE8Cs4XqK",
    "split": "train",
    "split.pWkDbZasGQNcZE9wLSBv.4": "train",
    "split.pWkDbZasGQNcZE9wLSBv.5": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[-90]\"\n]",
    "updated": {
        "_seconds": 1688207356,
        "_nanoseconds": 151000000
    },
    "updatedDate": "Jul 1, 2023",
    "updatedTime": "10:29AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "pWkDbZasGQNcZE9wLSBv/4",
        "pWkDbZasGQNcZE9wLSBv/5"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "ripe",
            "x": 335,
            "y": 337,
            "width": 440,
            "height": 355
        }
    ],
    "height": 640,
    "key": "KoreanMelon1.jpg",
    "width": 640
}

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